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A Survey of Beam and Power Allocation Techniques for Multiuser Massive MIMO System

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Proceedings of the 2nd International Conference on Internet of Things, Communication and Intelligent Technology (IoTCIT 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1197))

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Abstract

Massive MIMO is a key technology for next generation communication system, it can greatly increase the system sum-rate while the radiation power is significantly reduced. Different beam allocation, beam training, power allocation, and joint beam and power allocation algorithms have been employed with multiuser massive MIMO systems. The goal of this article is to present an overview of current research topics and future trends about beam and power allocation in massive MIMO. Specifically, beam selection, beam training, power allocation, and joint beam and power allocation algorithm have addressed. The discussed allocation schemes play a key role for allocating the beams and powers in such a fashion that system data rate has maximized and power consumption has decreased. Furthermore, the list of references is a good incentive for future researchers to work in this emerging field.

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Acknowledgement

This work was supported by the Key Projects of Kashgar University under Grant GCC2023ZK-004.

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Authors and Affiliations

  1. School of Physics and Electrical Engineering, Kashi University, Xinjiang, Kashi, 844008, China

    Saidiwaerdi Maimaiti

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  1. Saidiwaerdi Maimaiti
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Correspondence to Saidiwaerdi Maimaiti .

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Editors and Affiliations

  1. Central South University, Changsha, Hunan, China

    Jian Dong

  2. School of Information Engineering, Shenzhen University, Shenzhen, Guangdong, China

    Long Zhang

  3. School of Information and Control Engineering, China University of Mining and Technolog, Xuzhou, Jiangsu, China

    Deqiang Cheng

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Maimaiti, S. (2024). A Survey of Beam and Power Allocation Techniques for Multiuser Massive MIMO System. In: Dong, J., Zhang, L., Cheng, D. (eds) Proceedings of the 2nd International Conference on Internet of Things, Communication and Intelligent Technology. IoTCIT 2023. Lecture Notes in Electrical Engineering, vol 1197. Springer, Singapore. https://doi.org/10.1007/978-981-97-2757-5_36

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  • DOI: https://doi.org/10.1007/978-981-97-2757-5_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-2756-8

  • Online ISBN: 978-981-97-2757-5

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